{"id":"W3205923293","doi":"10.1080/15440478.2021.1944429","title":"Optimization and Modeling of Sound-Absorption Properties of Natural Fibers for Acoustical Application","year":2021,"lang":"en","type":"article","venue":"Journal of Natural Fibers","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Iran National Science Foundation","keywords":"Kenaf; Materials science; Composite material; Noise reduction coefficient; Ultimate tensile strength; Porosity; Scanning electron microscope; Absorption (acoustics); Fiber; Durability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003237581,0.0001492619,0.0003730855,0.000136953,0.00007528836,0.0000510868,0.0001849778,0.0001119289,0.000008997685],"category_scores_gemma":[0.000261394,0.0001139122,0.0001534165,0.0001990547,0.0001023679,0.000591994,0.00006202972,0.0002327626,5.722192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008319259,"about_ca_system_score_gemma":0.00009697569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008034731,"about_ca_topic_score_gemma":0.000001907298,"domain_scores_codex":[0.9984525,0.00005147373,0.0007204643,0.0001779332,0.0004098567,0.0001877107],"domain_scores_gemma":[0.9980117,0.0001311554,0.0005809363,0.0001396529,0.001070566,0.00006595719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003054768,0.00001313911,0.00001051149,0.0001608405,0.00002647894,9.938459e-7,0.000170701,0.2297801,0.7688578,0.0001713551,0.00002509962,0.0004774269],"study_design_scores_gemma":[0.000578927,0.0001055204,0.00001435184,0.000165368,0.00008551008,0.0001019829,0.0001777385,0.5380178,0.4600401,0.0005896364,0.000008875674,0.0001141906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414921,0.003424942,0.05400214,0.0003145095,0.0005064745,0.0002262458,0.000008635355,0.00001322154,0.00001175667],"genre_scores_gemma":[0.925332,0.00007042147,0.0743685,0.00004153945,0.0001086984,0.00000313886,0.0000117089,0.00001385611,0.00005020377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3088178,"threshold_uncertainty_score":0.4645205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946832639024906,"score_gpt":0.2573050821705465,"score_spread":0.2378367557802975,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}